FESOM-C, Dynamical reconstruction of the upper-ocean state in the Central Arctic. ...

The source code of the FESOM-C and set up for the dynamic reconstruction of the ocean state in the Central Arctic during the winter period of the MOSAiC Expedition. The current version includes a semi-implicit method for calculating the sea level. In contrast to previous publications (10.5281/zenodo...

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Bibliographic Details
Main Authors: Ivan, Kuznetsov, Benjamin, Rabe, Alexey, Androsov, Fang, Ying-Chih, Mario, Hoppmann, Quintanilla, Zurita Alejandra, Sven, Harig, Sandra, Tippenhauer, Kirstin, Schulz, Volker, Mohrholz, Ilker, Fer, Vera, Fofonova, Markus, Janout
Format: Software
Language:unknown
Published: Zenodo 2023
Subjects:
FESOM-C
Finite Volume
Ocean Model
data nudging
MOSAiC
Arctic
Arctic Ocean
Norway
EPICA
Online Access:https://dx.doi.org/10.5281/zenodo.8004903
https://zenodo.org/record/8004903
Description
Summary:The source code of the FESOM-C and set up for the dynamic reconstruction of the ocean state in the Central Arctic during the winter period of the MOSAiC Expedition. The current version includes a semi-implicit method for calculating the sea level. In contrast to previous publications (10.5281/zenodo.2085177), we have implemented parallel calculations based on the Message Passing Interface (MPI). The organization of parallel output and input, boundary conditions was written using the PnetCDF library. The results of modeling, reconstruction of T/S fields, and velocity fields are also presented. The data is divided into two regions (zone 1 and 2). The provided data is for 6 vertical layers and 5 temporal layers for simulation without nudging. Model data is interpolated onto a regular grid with a resolution of 250 meters using the nearest neighbor method. ... : Data presented in this paper were produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (grant numbers AWI\_PS122\_00 and AFMOSAiC-1\_00). The instruments were funded as part of the MIDO (Multidisciplinary Ice-based Drifting Observatory) infrastructure. The study contributes to the Changing Arctic Ocean (CAO) program, jointly funded by the UKRI Natural Environment Research Council (NERC) and the BMBF, project Advective Pathways of nutrients and key Ecological substances in the ARctic (APEAR) grants NE/R012865/1, NE/R012865/2 and \#03V01461; the project EPICA in the research theme MARE:N - Polarforschung/MOSAiC funded by the German Federal Ministry for Education and Research with funding number 03F0889A; the European Commission for EU H2020 grant no. 101003472 (project Arctic PASSION), and the AROMA (Arctic Ocean mixing processes and vertical fluxes of energy and matter) project by the Research Council of Norway, ...

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